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Stem Cell Research

Latest AI and machine learning research in stem cell research for healthcare professionals.

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Inhalable Fucoidan Microparticles Combining Two Antitubercular Drugs with Potential Application in Pulmonary Tuberculosis Therapy.

The pulmonary delivery of antitubercular drugs is a promising approach to treat lung tuberculosis. T...

MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network.

PURPOSE: This work aims to facilitate a fast magnetic resonance (MR)-only workflow for radiation the...

Machine metaphors and ethics in synthetic biology.

The extent to which machine metaphors are used in synthetic biology is striking. These metaphors con...

Assessing Effectiveness and Costs in Robot-Mediated Lower Limbs Rehabilitation: A Meta-Analysis and State of the Art.

Robots were introduced in rehabilitation in the 90s to meet different needs, that is, reducing the p...

Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics.

PURPOSE: Treatment effect or radiation necrosis after stereotactic radiosurgery (SRS) for brain meta...

Mapping Cellular Polarity Networks Using Mass Spectrometry-based Strategies.

Cell polarity is a vital biological process involved in the building, maintenance and normal functio...

Physical Properties of the Extracellular Matrix of Decellularized Porcine Liver.

The decellularization of organs has attracted attention as a new functional methodology for regenera...

Evolution of upper limb kinematics four years after subacute robot-assisted rehabilitation in stroke patients.

To assess functional status and robot-based kinematic measures four years after subacute robot-assi...

ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies.

Scientific reproducibility is critical for biomedical research as it enables us to advance science b...

Predicting individual responses to the electroconvulsive therapy with hippocampal subfield volumes in major depression disorder.

Electroconvulsive therapy (ECT) is one of the most effective treatments for major depression disorde...

Pharmacological therapy selection of type 2 diabetes based on the SWARA and modified MULTIMOORA methods under a fuzzy environment.

Medication selection for Type 2 Diabetes (T2D) is a challenging medical decision-making problem invo...

A machine learning approach to the accurate prediction of monitor units for a compact proton machine.

PURPOSE: Clinical treatment planning systems for proton therapy currently do not calculate monitor u...

Social Robotics in Therapy of Apraxia of Speech.

Apraxia of speech is a motor speech disorder in which messages from the brain to the mouth are disru...

A Functional Signature Ontology (FUSION) screen detects an AMPK inhibitor with selective toxicity toward human colon tumor cells.

AMPK is a serine threonine kinase composed of a heterotrimer of a catalytic, kinase-containing α and...

A computer vision-based system for monitoring Vojta therapy.

A neurological illness is t he disorder in human nervous system that can result in various diseases ...

Predictors of activities of daily living outcomes after upper limb robot-assisted therapy in subacute stroke patients.

BACKGROUND: Upper limb recovery is one of the main goals of post-stroke rehabilitation due to its im...

Critiquing the Reasons for Making Artificial Moral Agents.

Many industry leaders and academics from the field of machine ethics would have us believe that the ...

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